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Location
In office (Hyderabad)
Seniority
Senior
Visa
Sponsors visas in United States, Ireland, Canada; no register of this country names it

Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 4, 2026. Tech Mahindra scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Tech Mahindra is a prominent Indian multinational information technology services and consulting enterprise specializing in digital transformation, cloud modernization, business process re-engineering, and network services. Headquartered in Pune, Maharashtra, India (with its registered office in Mumbai), the company is a flagship entity of the diversified Mahindra Group conglomerate. Established in 1986 (initially as Mahindra British Telecom), it operates across dozens of countries with a global delivery footprint serving enterprise clients in telecommunications, banking and financial services, healthcare, automotive, and retail. The organization is particularly recognized for its deep engineering heritage in telecommunications and 5G network integration, offering end-to-end solutions spanning artificial intelligence, enterprise application management, customer experience (CX), and next-generation connectivity infrastructure.
Backed by Seafund

Job Description

  • Skill Set :

    python for data science

  • Total Experience :

    4.00 to 7.00 Years

  • No of Openings :

    1

  • Job Post Date :

    22/10/2026

  • Job Expiry Date :

    30/11/2026

  • Domain :

    IT

  • Location :

    HYDERABAD [India]

  • Job Reference No :

    4114331

Job Summary

Mandatory Skills:

Python, SQL, Statisticks, AI/ML, Timeseries Analytics, SPC, Survival Analysis

Experience & skills:

  • Mathematics and Statistics: Basic understanding of statistical concepts, including normal distribution, hypothesis testing (e.g., Anderson‿Darling test), regression, classification, and model evaluation metrics.
  • SQL and Data Warehousing: Strong SQL skills with experience in querying, analyzing, and extracting data from data warehouses.
  • Python Programming: Intermediate to advanced Python programming skills, with experience in data processing, analysis, and backend development.
  • API Development: Experience with FastAPI or other web API frameworks is preferred.
  • Fundamentals of AI/ML: Basic understanding of AI/ML concepts, including Transformers, Large Language Models (LLMs), and Retrieval Augmented Generation (RAG).
  • Time Series Analysis: Experience working with time series data, preferably in pharmaceutical manufacturing or related industrial processes.
  • Survival Analysis: Familiarity with survival analysis techniques and their practical applications.
  • Time Series Similarity and Comparison: Knowledge of Dynamic Time Warping (DTW) and profile comparison methods for time series analysis.
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